Limit States Design of Deep Foundation [Technical Summary]

Details

• Creators:
  Salgado, Rodrigo
• Corporate Creators:
  Purdue University. Joint Transportation Research Program
• Corporate Contributors:
  Indiana Department of Transportation ; United States. Department of Transportation. Federal Highway Administration
• Subject/TRT Terms:
  • Load and resistance factor design
  • Geotechnical engineering
  • Field tests
  • Reliability
  • Probability
  • Load factor
  • Foundation Design
  • Reliability-Based Design (RBD)
• Publication/ Report Number:
  FHWA/IN/JTRP-2004/21
• Resource Type:
  Brief
• Geographical Coverage:
  United States
• Edition:
  Technical Summary
• Corporate Publisher:
  Indiana Department of Transportation
• Abstract:
  The primary objective of this study is to propose a LRFD method for shallow and deep foundations that is based on a rational, probability-based investigation of design methods. Since resistance factor values are dependent upon the values of load factors used, a method to adjust the resistance factors to account for code-specified load factors is presented. Resistance factors for ultimate bearing capacity are then computed using reliability analysis for shallow and deep foundations both in sand and in clay, for use with both ASCE-7 (1996) and AASHTO (1998) load factors. The various considered methods obtain their input parameters from the CPT, the SPT, or laboratory testing. Finally, designers may wish to use design methods that are not considered in this study. As such, the designer needs the capability to select resistance factors that reflect the uncertainty of the design method chosen. A methodology is proposed in this study to accomplish this task, in a way that is consistent with the framework.
• Format:
  PDF
• Funding:
  SPR-2406
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/90116/dot_90116_DS1.pdf
• File Type:
  [PDF - 53.03 KB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:cbad5f591985038569ed5bfc1f396cfd6233cfabdb60e93ef825ecf929d8dfa10fb5c782b2471cfd3a4c6252e7a9c2aa39864f1ede95415403358f824e3647b8